Results 261 to 270 of about 24,340,587 (290)

Nonlinear multivariate analysis

Evaluation News, 1990
Reports (1-4 double-spaced typewritten pages) should describe tools, products, andlor services found useful by practicing evaluators. Reports should also include the context of use and sufficient informationfor interested readers to contact the user directly for more detailed information, that is, name, address, and telephone number.
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The discarding of variables in multivariate analysis

Biometrika, 1967
In many multivariate situations we are presented with more variables than we would like, and the question arises whether they are all necessary and if not which can be discarded. In this paper we consider two such situations. (a) Regression analysis. The problem here is whether any variables can be discarded as adding little or nothing to the accuracy ...
E M, Beale, M G, Kendall, D W, Mann
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Multivariate ATI Analysis

Multivariate Behavioral Research, 1981
Analysis of multivariate aptitude-treatment-interaction data is discussed. Various global hypotheses and the associated follow-up descriptions are considered and compared. Analysis procedures are illustrated using data from a science education study to describe the interaction between student reading ability and the time allowed in an individualized ...
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Multivariate analysis in surgical studies

Cirugía Española (English Edition), 2022
[No abstract available]
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Multivariate Statistical Analysis

Psychophysiology, 1973
ABSTRACTGeneral multivariate statistical theory and three statistical models (multi‐variate analysis of variance, canonical correlation analysis, and factor analysis) are described. Numerical examples, mathematical notes, an annotated bibliography, and references to computer programs are presented.
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Multivariate analysis using ‘and’ and ‘or’

Mathematical Social Sciences, 1984
Extensions from binary to continuous variables are considered of mathematical operators for connectives (''and'', ''or'', ''exclusive or'', etc). Using concepts from fuzzy set theory it is illustrated how such extensions can be used in statistical modelling of interactions in multivariate analysis.
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An Inequality with Application to Multivariate Analysis

Biometrika, 1975
An inequality for the trace of the product of two symmetric matrices can be used to simplify the proofs of a number of results in multivariate analysis. This is illustrated on two problems: estimating the parameters of a multivariate normal population, and estimating a system of linear functional relationships between the mean vectors of k multivariate
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Multivariate Analysis in Genetic Studies

Acta geneticae medicae et gemellologiae, 1972
SummaryThe results are presented of a method of generalized distances calculated by a noncentral χ2 test and applied to compare 63 twin pairs and 196 sib pairs. The advantage of this method in biometrical analysis lies in the fact that several measurements can be utilised simultaneously.
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Multivariate Survival Analysis

Theory of Probability & Its Applications, 1993
The author considers problems arising in multivariate survival analysis. It is shown that concepts of history and future of one-dimensional time lead to definitions of multidimensional measures of risk, iterated measures of hazard rate, and a representation of multidimensional survival time.
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Multivariate Data and Multivariate Analysis

2005
Multivariate data arise when researchers record the values of several random variables on a number of subjects or objects or perhaps one of a variety of other things (we will use the general term “units”) in which they are interested, leading to a vector-valued or multidimensional observation for each.
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